scGPT
Generative pretrained transformer trained on 33 million cells (Bo Wang lab); a spatial continual-pretraining variant (scGPT-spatial) exists as a preprint. Zero-shot evaluation reports limitations. VC0008 VC0027 · preprint VC0050
Review pending Version 0.1.0 · status: draft · last expert review: not yet reviewed
Relations
| Subject | Relation | Object | Confidence | Evidence (role) |
|---|---|---|---|---|
| scGPT | associated with | Single-cell foundation model | high | VC0008 supports From: AI virtual cell models |
| scGPT | benchmarked on | Zero-shot evaluation | high | VC0050 benchmark Zero-shot limitations reported. |
Appears in research topics
- AI virtual cell models (Models)
Appears in library items (3)
Items whose title, tags or one-line summary match this entity (derived from the data), plus the items cited as evidence for the description.
- VC0050 Zero-shot evaluation reveals limitations of single-cell foundation models. — Kedzierska KZ, Crawford L, Amini AP, Lu AX., Genome biology, 2025
- VC0027 · preprint scGPT-spatial: Continual Pretraining of Single-Cell Foundation Model for Spatial Transcriptomics — Wang C, Cui H, Zhang A, Xie R, Goodarzi H, Wang B., bioRxiv, 2025
- VC0008 scGPT: toward building a foundation model for single-cell multi-omics using generative AI. — Cui H, Wang C, Maan H, Pang K, Luo F, Duan N, Wang B., Nature methods, 2024
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